Yang, T.; Zhu, S.; Zhang, W.; Zhao, Y.; Song, X.; Yang, G.; Yao, Z.; Wu, W.; Liu, T.; Sun, C.;
et al. Unmanned Aerial Vehicle-Scale Weed Segmentation Method Based on Image Analysis Technology for Enhanced Accuracy of Maize Seedling Counting. Agriculture 2024, 14, 175.
https://doi.org/10.3390/agriculture14020175
AMA Style
Yang T, Zhu S, Zhang W, Zhao Y, Song X, Yang G, Yao Z, Wu W, Liu T, Sun C,
et al. Unmanned Aerial Vehicle-Scale Weed Segmentation Method Based on Image Analysis Technology for Enhanced Accuracy of Maize Seedling Counting. Agriculture. 2024; 14(2):175.
https://doi.org/10.3390/agriculture14020175
Chicago/Turabian Style
Yang, Tianle, Shaolong Zhu, Weijun Zhang, Yuanyuan Zhao, Xiaoxin Song, Guanshuo Yang, Zhaosheng Yao, Wei Wu, Tao Liu, Chengming Sun,
and et al. 2024. "Unmanned Aerial Vehicle-Scale Weed Segmentation Method Based on Image Analysis Technology for Enhanced Accuracy of Maize Seedling Counting" Agriculture 14, no. 2: 175.
https://doi.org/10.3390/agriculture14020175
APA Style
Yang, T., Zhu, S., Zhang, W., Zhao, Y., Song, X., Yang, G., Yao, Z., Wu, W., Liu, T., Sun, C., & Zhang, Z.
(2024). Unmanned Aerial Vehicle-Scale Weed Segmentation Method Based on Image Analysis Technology for Enhanced Accuracy of Maize Seedling Counting. Agriculture, 14(2), 175.
https://doi.org/10.3390/agriculture14020175
